李爱武, 刘宁, 严升则. 基于MapReduce面向列的数据库存储方案研究[J]. 微电子学与计算机, 2013, 30(6): 92-96.
引用本文: 李爱武, 刘宁, 严升则. 基于MapReduce面向列的数据库存储方案研究[J]. 微电子学与计算机, 2013, 30(6): 92-96.
LI Ai-wu, LIU Ning, YAN Sheng-ze. Research on Column-Oriented Database Storage Scheme Based on MapReduce[J]. Microelectronics & Computer, 2013, 30(6): 92-96.
Citation: LI Ai-wu, LIU Ning, YAN Sheng-ze. Research on Column-Oriented Database Storage Scheme Based on MapReduce[J]. Microelectronics & Computer, 2013, 30(6): 92-96.

基于MapReduce面向列的数据库存储方案研究

Research on Column-Oriented Database Storage Scheme Based on MapReduce

  • 摘要: 将传统的并行DBMS技术应用到Hadoop框架,在此基础上将面向列的数据库存储技术引入Hadoop的复制和调度机制,进而获得高效的编程模型与编程API.实验表明,提出的方案主要应用在map phase阶段,同时能够使得MapReduce的性能提高两倍.

     

    Abstract: To improve the performance of MapReduce,the paper introduces the parallel DBMS into the Hadoop framework and introduces the column-oriented storage technology into the copy and scheduling of Hadoop,to get efficient coding model.Experimental results show the scheme presented in the paper can improve the performance of MapReduce.

     

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